Matthew Willetts

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 24

Top Topics

Unsupervised Learning

Top Venues

Publications

Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. CoRR (2023)
Alexander Camuto, Matthew Willetts
Variational Autoencoders: A Harmonic Perspective. AISTATS (2022)
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. NeurIPS (2022)
Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth
Certifiably Robust Variational Autoencoders. AISTATS (2022)
Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C. Holmes
Multi-Facet Clustering Variational Autoencoders. CoRR (2021)
Alexander Camuto, Matthew Willetts, Chris C. Holmes, Brooks Paige, Stephen J. Roberts
Learning Bijective Feature Maps for Linear ICA. AISTATS (2021)
Matthew Willetts, Alexander Camuto, Tom Rainforth, Stephen J. Roberts, Christopher C. Holmes
Improving VAEs' Robustness to Adversarial Attack. ICLR (2021)
Matthew Willetts, Brooks Paige
I Don't Need u: Identifiable Non-Linear ICA Without Side Information. CoRR (2021)
Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth
Certifiably Robust Variational Autoencoders. CoRR (2021)
Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes
Multi-Facet Clustering Variational Autoencoders. NeurIPS (2021)
Alexander Camuto, Matthew Willetts
Variational Autoencoders: A Harmonic Perspective. CoRR (2021)
Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. AISTATS (2021)
Matthew Willetts, Stephen J. Roberts, Chris C. Holmes
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels. IEEE BigData (2020)
Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes
Explicit Regularisation in Gaussian Noise Injections. NeurIPS (2020)
Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. CoRR (2020)
Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes
Explicit Regularisation in Gaussian Noise Injections. CoRR (2020)
Miguel Morin, Matthew Willetts
Non-Determinism in TensorFlow ResNets. CoRR (2020)
Alexander Camuto, Matthew Willetts, Brooks Paige, Chris C. Holmes, Stephen J. Roberts
Learning Bijective Feature Maps for Linear ICA. CoRR (2020)
Matthew Willetts, Xenia Miscouridou, Stephen J. Roberts, Chris C. Holmes
Relaxed-Responsibility Hierarchical Discrete VAEs. CoRR (2020)
Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes
Regularising Deep Networks with DGMs. CoRR (2019)
Matthew Willetts, Stephen J. Roberts, Christopher C. Holmes
Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels. CoRR (2019)
Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes
Disentangling Improves VAEs' Robustness to Adversarial Attacks. CoRR (2019)
Matthew Willetts, Stephen J. Roberts, Chris C. Holmes
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders. CoRR (2019)
Matthew Willetts, Aiden Doherty, Stephen J. Roberts, Chris C. Holmes
Semi-unsupervised Learning of Human Activity using Deep Generative Models. CoRR (2018)